2007arXiv (Cornell University)Open access

How to extract information about a nanosystem in canonical ensemble from the larger system in grand canonical ensemble

Daniel S. Kosov, Maxim F. Gelin, A.I. Vdovin

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Abstract

We present a method to compute averages in canonical ensemble based on calculations of the expectation values in grand canonical ensemble. The number of particles n, which is fixed in the canonical ensemble, is not necessarily the same as the average number of particles in the grand canonical ensemble.

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What this paper is about

We present a method to compute averages in canonical ensemble based on calculations of the expectation values in grand canonical ensemble. The number of particles n, which is fixed in the canonical ensemble, is not necessarily the same as the average number of particles in the grand canonical ensemble.

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Available abstract

We present a method to compute averages in canonical ensemble based on calculations of the expectation values in grand canonical ensemble. The number of particles n, which is fixed in the canonical ensemble, is not necessarily the same as the average number of particles in the grand canonical ensemble.

Key concepts: Grand canonical ensemble, Canonical ensemble, Microcanonical ensemble, Statistical ensemble, Non canonical, Ensemble forecasting, Ensemble learning, Canonical correlation

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